In this study, we examined the performance of predicting
adult females with ADHD based on the patterns of altered
tract integrity over the whole brain. The whole-brain
tract information was compared with predefined
differences between ADHD and healthy participants to
calculate an index as the similarity with ADHD. Our
results showed that the prediction performance was high
(AUC > 0.8) when we compared the steps with high ES (ES
> 0.65) and more continuous neighbors along tracts (CS >
4). To conclude, the information of the whole-brain
tracts estimated by tract-based automatic analysis
method is potentially useful for predicting adult female
with ADHD.

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